Microbiota-based markers predictive of development of Clostridioides difficile infection

Antibiotic-induced modulation of the intestinal microbiota can lead to Clostridioides difficile infection (CDI), which is associated with considerable morbidity, mortality, and healthcare-costs globally. Therefore, identification of markers predictive of CDI could substantially contribute to guiding therapy and decreasing the infection burden. Here, we analyze the intestinal microbiota of hospitalized patients at increased CDI risk in a prospective, 90-day cohort-study before and after antibiotic treatment and at diarrhea onset. We show that patients developing CDI already exhibit significantly lower diversity before antibiotic treatment and a distinct microbiota enriched in Enterococcus and depleted of Ruminococcus, Blautia, Prevotella and Bifidobacterium compared to non-CDI patients. We find that antibiotic treatment-induced dysbiosis is class-specific with beta-lactams further increasing enterococcal abundance. Our findings, validated in an independent prospective patient cohort developing CDI, can be exploited to enrich for high-risk patients in prospective clinical trials, and to develop predictive microbiota-based diagnostics for management of patients at risk for CDI.Clostridioides difficile infection (CDI) is the most common cause of antibiotic-associated diarrhoea (AAD); however, markers predictive of CDI or AAD development are as yet lacking. Here, to identify markers predictive of CDI, the authors profile the intestinal microbiota of 945 hospitalised patients from 34 hospitals in 6 different European countries and show distinct microbiota enriched in Enterococcus and depleted of Ruminococcus, Blautia, Prevotella and Bifidobacterium compared to non-CDI patients.

Automated summary

The study reveals that the intestinal microbiota of patients who develop CDI have lower diversity and are enriched in specific bacteria such as Enterococcus, while lacking other bacteria, before antibiotic treatment. Dysbiosis induced by antibiotics is class-specific, with beta-lactams further increasing the abundance of Enterococcus. These findings can be utilized to identify high-risk patients and develop predictive microbiota-based diagnostics for the management of CDI.